CIO

SEPTEMBER 18, 2023

To that end, New York-based telecom giant Verizon has developed a platform for migrating millions of customers to its next-generation networks such as 5G, Cloud Connectivity, and Fixed Wireless Access — with minimal disruption. The usage on the network is growing at a very fast pace.”

Telecommunications 279

Telecommunications Network Systems Review Software Review 279

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 291

Technical Review Software Review Systems Review Software Engineering 291

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

FEBRUARY 12, 2024

Most Azure users use hub-spoke network topology. DNS servers are usually deployed in the hub virtual network or an on-prem data center instead of in the Cloudera VNET. Service endpoint is a simpler implementation to allow resources on a private network to access managed services on Azure Cloud.

Azure 52

Azure Firewall Data Engineering Storage 52

CIO

JUNE 28, 2023

To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic. These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp.

Technical Review 263

Technical Review Analytics Innovation Artificial Intelligence 263

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

FEBRUARY 13, 2023

For example, New York-Presbyterian Hospital, which has a network of hospitals and about 2,600 beds, is deploying over 150 AI and VR/AR projects this year across all clinical specialties. Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Cloudera

FEBRUARY 1, 2024

Day 0 — Design and Preparation: Focuses on designing and preparing for your installation, including gathering requirements, planning architecture, allocating resources, setting up network and security, and documentation creation. Network setup: configure the network infrastructure to ensure connectivity and data flow.

Backup 82

Backup Architecture Cloud Resources 82

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Interested in keeping up with international technology events?

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 62

Telecommunications Data Architecture Big Data 62

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Kentik

APRIL 3, 2018

In our last blog post, At The Turning Point: FinServ Data Networks , we discussed the challenges faced by financial services organizations when it comes to managing modern networks. Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends.

Network 40

Network WAN LAN Policies 40

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. With this, we can reduce customer churn and overall network operational costs. We get optimized price/performance on complex workloads over massive scale data.

Analytics 87

Analytics Machine Learning Artificial Inteligence Telecommunications 87

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit: networking platform. The Data Innovation Summit is a great opportunity not only to learn but to meet your peers from other organisations, industries and sectors in the Nordic and beyond. Data Innovation Summit: schedule.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As IoT adoption in the enterprise continues to take shape, organizations are finding that the diverse capabilities represent another massive increase in the number of devices and the data volumes generated by these devices in enterprise networks.

IoT 40

IoT Network Tools Big Data 40

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies. Good problem-solving skills.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Kentik

DECEMBER 5, 2016

The ability of Kentik Detect to offer cloud-friendly network performance monitoring — Kentik NPM — was key to the recognition we earned. In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application.

Network 40

Network Performance Metrics Software Review 40

Agile Engine

SEPTEMBER 29, 2023

Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Apiumhub

NOVEMBER 17, 2022

Speakers include: Simon Brown – Creator of the famous C4 model, Author of “Software Architecture for Developers” & Founder of Structurizr. Jesse Anderson – Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. Hannes Lowette – Developer, Coach & Microsoft MVP.

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

O'Reilly Media - Ideas

JUNE 4, 2019

Building Your LinkedIn Network , August 13. Data science and data tools. Business Data Analytics Using Python , June 25. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. AWS Certified Big Data - Specialty Crash Course , June 26-27. Analyzing Software Architecture , July 23.

Course 68

Course Training Artificial Inteligence Software Review 68

O'Reilly Media - Data

JULY 18, 2018

My goal was to remind the data community about the many interesting opportunities and challenges in data itself. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data. Data liquidity in an age of privacy: New data exchanges.

Machine Learning 134

Machine Learning Artificial Inteligence Data Marketing 134

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

O'Reilly Media - Ideas

MARCH 19, 2020

Sustained strength in unsupervised learning, neural networks, reinforcement learning, etc., Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2).

Artificial Inteligence 115

Artificial Inteligence Trends Artificial Intelligence Machine Learning 115

Lacework

NOVEMBER 1, 2023

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. Either way, service providers can accommodate these preferences by providing configurability around data hosting, and how and where this is accomplished.

System Design 52

System Design Systems Review System Data 52

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Train a convolutional neural network using only a few labeled data points.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

O'Reilly Media - Ideas

JULY 1, 2019

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

Software Development 63

Software Development Artificial Inteligence Software Machine Learning 63

O'Reilly Media - Ideas

JUNE 5, 2019

Building Your LinkedIn Network , August 13. Data science and data tools. Business Data Analytics Using Python , June 25. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. AWS Certified Big Data - Specialty Crash Course , June 26-27. Analyzing Software Architecture , July 23.

Course 51

Course Training Artificial Inteligence Software Review 51

CTOvision

JANUARY 28, 2015

We''ve added new sessions and tracks to reflect challenges that have emerged in the data field— including security, ubiquitous computing, collaboration, reproducibility, new interfaces, emerging architecture, building data teams, machine data —and much more. Data scientists. Data engineers.

Big Data 109

Big Data Case Study Conference Study 109

O'Reilly Media - Ideas

FEBRUARY 2, 2020

Is it important to observe what happens on each layer of a neural network? Collaboration between AI developers and operations teams will lead to growing pains on both sides, especially since many data scientists and AI researchers have had limited exposure to, or knowledge of, software engineering.

Meeting 76

Meeting Conference Training Testing 76

Kentik

AUGUST 29, 2016

Warm Reception Makes for Fun Networking Field Day. It was a blast taking part in our first ever Networking Field Day (NFD12). But presenting at NFD12 gave us the opportunity to get valuable response and feedback from a set of knowledgeable network nerd and blogger delegates, as well as from the NFD12 streaming audience.

Analytics 40

Analytics Banking Data Engineering Policies 40

CTOvision

FEBRUARY 23, 2017

We've added new sessions and tracks to reflect challenges that have emerged in the data field— including security, ubiquitous computing, collaboration, reproducibility, new interfaces, emerging architecture, building data teams, machine data —and much more. Data scientists. Data engineers.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Altexsoft

APRIL 13, 2023

But of course, you can only share data you have yourself – so higher visibility leads to higher transparency. Supply chain mapping means gathering information about your suppliers and partners and creating a map of your business network. to develop all the data architecture and analytics solutions.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

O'Reilly Media - Ideas

MAY 1, 2019

Building Your LinkedIn Network , June 11. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Kentik

APRIL 4, 2023

When evaluating solutions, whether to internal problems or those of our customers, I like to keep the core metrics fairly simple: will this reduce costs, increase performance, or improve the network’s reliability? It’s often taken for granted by network specialists that there is a trade-off among these three facets. Resiliency.

Network 104

Network Load Balancer Cloud Backup 104